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Magical Tome

Cover of Genetic programming
First published
2006
Publisher
Springer London, Limited
Pages
364 pages
ISBN
9783540331445

Genetic programming

The outer archives are busy

by Julian F. Miller, Marco Tomassini, Conor Ryan

About this book

Genetic Programming: 4th European Conference, EuroGP 2001 Lake Como, Italy, April 18–20, 2001 Proceedings Author: Julian Miller, Marco Tomassini, Pier Luca Lanzi, Conor Ryan, Andrea G. B. Tettamanzi, William B. Langdon Published by Springer Berlin Heidelberg ISBN: 978-3-540-41899-3 DOI: 10.1007/3-540-45355-5 Table of Contents: Heuristic Learning Based on Genetic Programming Evolving Color Constancy for an Artificial Retina Adaptive Genetic Programming Applied to New and Existing Simple Regression Problems An Evolutionary Approach to Automatic Generation of VHDL Code for Low-Power Digital Filters Studying the Influence of Communication Topology and Migration on Distributed Genetic Programming CAGE: A Tool for Parallel Genetic Programming Applications Ripple Crossover in Genetic Programming Evolving Receiver Operating Characteristics for Data Fusion An Adaptive Mapping for Developmental Genetic Programming A Schema Theory Analysis of the Evolution of Size in Genetic Programming with Linear Representations Exact Schema Theorems for GP with One-Point and Standard Crossover Operating on Linear Structures and Their Application to the Study of the Evolution of Size General Schema Theory for Genetic Programming with Subtree-Swapping Crossover Evolving Modules in Genetic Programming by Subtree Encapsulation Evolution of Affine Transformations and Iterated Function Systems Using Hierarchical Evolution Strategy Evolving Turing Machines for Biosequence Recognition and Analysis Neutrality and the Evolvability of Boolean Function Landscape Polymorphism and Genetic Programming Programmable Smart Membranes: Using Genetic Programming to Evolve Scalable Distributed Controllers for a Novel Self-Reconfigurable Modular Robotic Application A GP Artificial Ant for image processing: preliminary experiments with EASEA. Feature Extraction for the k-Nearest Neighbour Classifier with Genetic Programming

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